Metric details with threshold from accuracy metric
score
threshold
logloss
1.7814
nan
auc
0.660714
nan
f1
0.727273
0.37931
accuracy
0.842105
0.37931
precision
1
0.37931
recall
0.571429
0.37931
mcc
0.676123
0.37931
Confusion matrix (at threshold=0.37931)
Predicted as No
Predicted as Yes
Labeled as No
12
0
Labeled as Yes
3
4
Learning curves
Decision Tree
Tree #1
Rules
if (Marital status <= 0.5) and (Your current year of Study <= 3.5) and (Your current year of Study > 1.5) then class: No (proba: 62.07%) | based on 29 samples
if (Marital status <= 0.5) and (Your current year of Study > 3.5) then class: No (proba: 100.0%) | based on 12 samples
if (Marital status > 0.5) then class: Yes (proba: 100.0%) | based on 8 samples
if (Marital status <= 0.5) and (Your current year of Study <= 3.5) and (Your current year of Study <= 1.5) then class: No (proba: 100.0%) | based on 7 samples